AI-powered optimization and numerical techniques for nanofluid heat transfer systems-a review DOI
Mohsin Raza,

M. Z. Ahmad Faiz,

Walid A. Hassan

и другие.

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 8(7)

Опубликована: Июль 1, 2024

Язык: Английский

Analysis of the radiated ternary hybrid nanofluid flow containing TiO<sub>2</sub>, CoFe<sub>2</sub>O<sub>4</sub> and MgO nanoparticles past a bi-directional extending sheet using thermal convective and velocity slip conditions DOI Creative Commons
Humaira Yasmin,

Rawan Bossly,

Fuad S. Alduais

и другие.

AIMS Mathematics, Год журнала: 2025, Номер 10(4), С. 9563 - 9594

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Exploring the Thermal Attributes of Nano-Composition (GQDs+BiSe+Ag) Suspended in Therminol VP-1: An Artificial Intelligence based Approach DOI Creative Commons
Sohail Ahmad, Hessa A. Alsalmah

Case Studies in Thermal Engineering, Год журнала: 2025, Номер 72, С. 106231 - 106231

Опубликована: Май 5, 2025

Язык: Английский

Процитировано

0

Dual solutions of ternary hybrid nanofluids stagnation point past a linearly shrinking sheet with second-order slip conditions DOI

Cornelia Revnic,

Teodor Groşan,

Ioan Pop

и другие.

International Journal of Numerical Methods for Heat &amp Fluid Flow, Год журнала: 2025, Номер unknown

Опубликована: Май 19, 2025

Purpose The purpose of this paper is to study the dual solutions ternary hybrid nanofluids stagnation point past a linearly shrinking sheet with second-order slip conditions. nanofluid consists in alumina (Al_2 O_3), copper (Cu) and titanium dioxide (TiO_2) embedded as nanoparticles water (H_2 O), base liquid. Design/methodology/approach flow over stretching/shrinking surface has wide range applications engineering several technological purposes, such as, extrusion polymer melt-spinning process, extrudate from die generally drawn simultaneously stretched into which then solidified through quenching or gradual cooling by direct contact water, large metallic plate bath, etc. Using appropriate transformations, full partial differential equations, continuity, momentum energy, were transformed nonlinear ordinary equations that are, then, solved numerically using bvp4c function MATLAB software. Findings effect governing parameters on skin friction, heat transfer, velocity temperature profiles been analyzed graphical tabular reports. It found (upper lower branch) exist for some values parameters. From stability analysis, it upper branch solution stable physically realizable practice, while unstable and, therefore not practice. Both branches, reduced transfer are graphically tables presented. friction (or shear stress), substantially affected slip. Originality/value present results original new surface, they successfully extend problems open literature.

Язык: Английский

Процитировано

0

Mathematical analysis of nanoparticle type and volume fraction on heat transfer efficiency of nanofluids DOI Creative Commons
Savaş Evran

Open Physics, Год журнала: 2025, Номер 23(1)

Опубликована: Янв. 1, 2025

Abstract Nanofluids (NFs) have been implemented in several areas to increase heat transfer efficiency. Thus, efficiency for energy can be achieved. In this study, the effect of nanoparticle (NP) type, volume fraction, and Re number on NFs were analyzed numerically, statistically, theoretically. Heat coefficient, units, wall shear stress, friction factor selected as NFs. ANSYS Fluent software was utilized carry out computational fluid dynamics analyses. The numerical calculation scheme by employing Taguchi L9 orthogonal array with three decisive factors. NP assumed factors levels. Signal-to-noise ratio analysis determine direction impact ideal levels each Significance contribution rates calculated Analysis Variance. According mathematical responses, most effective NPs h τ w identified Gr, Al 2 O 3 , Cu, respectively, whereas units are found respectively. addition, from 6,000 8,000 causes an a decrease NTU f . data achieved research may guide paper experimental

Язык: Английский

Процитировано

0

Comparative Analysis of Zinc Oxide and Copper Hybrid Nanofluids on Viscosity and Thermal Conductivity in Automotive Applications DOI

M. Sivasubramanian,

V. Sundaram, S. Madhu

и другие.

SAE technical papers on CD-ROM/SAE technical paper series, Год журнала: 2024, Номер 1

Опубликована: Дек. 10, 2024

<div class="section abstract"><div class="htmlview paragraph">Nanofluids have emerged as effective alternatives to traditional coolants for enhancing thermal performance in automotive applications. This study conducts a comparative analysis of the viscosity and conductivity ZnO Cu hybrid nanofluids. Nanofluids were prepared with nanoparticle concentrations 0.1%, 0.3%, 0.5% by volume characterized over temperatures ranging from 25°C 100°C. The results demonstrate that nanofluids achieve an increase up 22% 28%, respectively, compared base fluid. Concurrently, these increases 12% at highest concentration temperature. addresses critical research gap investigating combined effects nanoparticles nanofluids, area has been underexplored. By providing new insights into optimizing both viscosity, this contributes development more efficient cooling systems applications.</div></div>

Язык: Английский

Процитировано

0

Numerical investigation on the impact of geometric complexity on radiative properties of nanofluid in photothermal conversion DOI
Qianru Yang,

Chenghu Zhang,

Sixu Liu

и другие.

Solar Energy Materials and Solar Cells, Год журнала: 2024, Номер 278, С. 113194 - 113194

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

0

AI-powered optimization and numerical techniques for nanofluid heat transfer systems-a review DOI
Mohsin Raza,

M. Z. Ahmad Faiz,

Walid A. Hassan

и другие.

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 8(7)

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

0